16 papers · ranked by Valyu relevance
Ronald A. Rensink
Traditionally, vision science and information/data visualization have interacted by using knowledge of human vision to help design effective displays. It is argued here, however, that this interaction can also go in the opposite direction: the investigation of successful visualizations can lead to the discovery of…
Carolin Helbig, Lars Bilke, Hans-Stefan Bauer, Michael Böttinger + 2 more
At the beginning of our work, we specified a set of requirements together with domain experts. We summarized them in the use case diagram shown in [pone.0123811.g001]. These requirements relate to the gaps we defined in the introduction and will be presented in the following. For the development of our application, we…
Xiaoke He
In the modern environment, visual communication design has become a comprehensive subject that combines technology and art. The development of various technologies has promoted the emergence of new design art forms, and at the same time, it has also promoted the change of design concepts and thinking modes. Visual…
P Mindek, M E Gröller, S Bruckner
Spatial selections are a ubiquitous concept in visualization. By localizing particular features, they can be analysed and compared in different views. However, the semantics of such selections often depend on specific parameter settings and it can be difficult to reconstruct them without additional information. In this…
Victor Cavaller
This article consists of a conceptual analysis-from the perspective of communication sciences-of the relevant aspects that should be considered during operational steps in data visualization. The analysis is performed taking as a reference the components that integrate the communication framework theory-the message…
Vojtěch Juřík, Lukáš Herman, Dajana Snopková, Adrianne John Galang + 5 more
'Zdeněk Stachoň' 'Jiří Chmelík' 'Petr Kubíček' 'Čeněk Šašinka' 'Vincent Lecours'] The use of 3D visualization technologies has increased rapidly in many applied fields, including geovisualization, and has been researched from many different perspectives. However, the findings for the benefits of 3D visualization…
Nikolaus Piccolotto, Markus Bögl, Silvia Miksch
Computational models, such as simulations, are central to a wide range of fields in science and industry. Those models take input parameters and produce some output. To fully exploit their utility, relations between parameters and outputs must be understood. These include, for example, which parameter setting produces…
Gwendal Fouché, Ferran Argelaguet, Emmanuel Faure, Charles Kervrann
The analysis of multidimensional time-varying datasets faces challenges, notably regarding the representation of the data and the visualization of temporal variations. We propose an extension of the well-known Space-Time Cube (STC) visualization technique in order to visualize time-varying 3D spatial data, taking…
Seth Johnson, Daniel Orban, Hakizumwami Birali Runesha, Lingyu Meng + 4 more
'Bethany Juhnke' 'Arthur Erdman' 'Francesca Samsel' 'Daniel F. Keefe'] We present Bento Box, a virtual reality data visualization technique and bimanual 3D user interface for exploratory analysis of 4D data ensembles. Bento Box helps scientists and engineers make detailed comparative judgments about multiple…
Maged N Kamel Boulos, Teeradache Viangteeravat, Matthew N Anyanwu, Venkateswara Ra Nagisetty + 1 more
'Venkateswara Ra Nagisetty' 'Emin Kuscu'] The goal of visual analytics is to facilitate the discourse between the user and the data by providing dynamic displays and versatile visual interaction opportunities with the data that can support analytical reasoning and the exploration of data from multiple user-customisable…
Xin Chi, Jie Hua, Xiao Ren, Azizur Rahman + 1 more
Visualisation techniques have been one of the best data processing and analysis methods in recent decades, and they have assisted in data understanding efforts in various fields. Visualisation techniques for low-dimensional data are well developed and applied in multiple sectors; however, multidimensional data…
Syed S Husain, Alexandr Kalinin, Anh Truong, Ivo D Dinov
Introduction Intuitive formulation of informative and computationally-efficient queries on big and complex datasets present a number of challenges. As data collection is increasingly streamlined and ubiquitous, data exploration, discovery and analytics get considerably harder. Exploratory querying of heterogeneous and…
Ouxun Jiang, Camillia Matuk, Madhumitha Gopalakrishnan, Wen Xu + 5 more
Data visualizations are used widely to help people see patterns in data across research, policy, education, and business. Computer screens allow these visualizations to become animated, which can effectively show processes of change. While animations can be engaging, ineffective design can also make them confusing or…
Muhammed Khawatmi, Yoann Steux, Saddam Zourob, Heba Z. Sailem
Effective visualisation of quantitative microscopy data is crucial for interpreting and discovering new patterns from complex bioimage data. Existing visualisation approaches, such as bar charts, scatter plots and heat maps, do not accommodate the complexity of visual information present in microscopy data. Here we…
Silke Schwandt, Christian Wachter
Visualizations are ubiquitous in data-driven research, serving as both tools for knowledge production and genuine means of knowledge communication. Despite criticisms targeting the alleged objectivity of visualizations in the digital humanities (DH) and reflections on how they may serve as representations of both…
Dagny Aurich, Aida Horaniet Ibañez
We refer to data visualization as the graphical representation of data, using a variety of visual encoding methods (a representational approach), as well as the use of a graphical representation, to model interpretation and generate or augment data (a non-representational approach). The applications vary (e.g.…